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pro vyhledávání: '"Dligach, Dmitriy"'
Autor:
Sharma, Brihat, Gao, Yanjun, Miller, Timothy, Churpek, Matthew M., Afshar, Majid, Dligach, Dmitriy
Generative artificial intelligence (AI) is a promising direction for augmenting clinical diagnostic decision support and reducing diagnostic errors, a leading contributor to medical errors. To further the development of clinical AI systems, the Diagn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc694b781978cff94bcfde4858736a3e
The BioNLP Workshop 2023 initiated the launch of a shared task on Problem List Summarization (ProbSum) in January 2023. The aim of this shared task is to attract future research efforts in building NLP models for real-world diagnostic decision suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ba0eece676c5ef67c927738e549f1b
Autor:
Gao, Yanjun, Dligach, Dmitriy, Miller, Timothy, Churpek, Matthew M, Uzuner, Ozlem, Afshar, Majid
Publikováno v:
Journal of Biomedical Informatics. 142:104346
Daily progress notes are common types in the electronic health record (EHR) where healthcare providers document the patient's daily progress and treatment plans. The EHR is designed to document all the care provided to patients, but it also enables n
Autor:
Gao, Yanjun, Dligach, Dmitriy, Miller, Timothy, Tesch, Samuel, Laffin, Ryan, Churpek, Matthew M., Afshar, Majid
Applying methods in natural language processing on electronic health records (EHR) data is a growing field. Existing corpus and annotation focus on modeling textual features and relation prediction. However, there is a paucity of annotated corpus bui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80f8a6d9f8831906771609d0410045d
Automatic phenotyping is a task of identifying cohorts of patients that match a predefined set of criteria. Phenotyping typically involves classifying long clinical documents that contain thousands of tokens. At the same time, recent state-of-art tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18afc1fa21cebd18d2722fe9f8174c16